Special Session on Computational Intelligence for Digital Data Hiding (IEEE CICS)
InfoSec Conference Summary
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Aim: The penetration of the digital content in human life is continuously increasing. Dependence on digital technology necessitates need for data hiding techniques like digital watermarking and steganography. Many emerging smart applications are using such approaches for privacy protection, copyright protection, and secret communication. A digital data hiding problem can be seen as an optimisation problem due to complementary nature of general requirements of perceptual transparency, capacity, robustness, and security. The goal of data hiding technique is to find optimal performance depending on application by balancing general requirements. Advances in computational intelligence can be exploited to improve the performance of the data hiding technique.
Scope and Topics: This session will cover state-of-the-art research challenges, design and implementation strategies for a secure and scalable data hiding techniques. The session will provide an ideal forum to discuss original research ideas using computational intelligence for solving data hiding challenge. Papers are solicited in, but not limited to, the following topics:
Combining encryption, watermarking for privacy protection and authentication
Deep learning for digital data hiding
Theoretic studies or stochastic
Real-time or online data hiding.
Reversible data hiding techniques
Secure data hiding techniques
Securing social media data
Steganography and Steganalysis using computational intelligence
Visual cryptography and secret sharing